Stochastic Processes Using Python

This unique introductory textbook provides a practical, pedagogical introduction to Monte Carlo Methods and Stochastic Processes. The book can be used for a wide variety of advanced undergraduate and first year graduate courses in Computational statistics, Introduction to stochastic processes, and Monte Carlo computational methods.

Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, USA. His research area is applications of thermally and optically stimulated luminescence. He taught courses in mathematical physics, classical and quantum mechanics, analog and digital electronics and numerous general science courses. Dr. Pagonis’ resume lists more than 200 peer-reviewed publications in international journals. He is currently associate editor of the journal Radiation Measurements. He is co-author with Dr. Christopher Kulp of the undergraduate textbooks “Classical Mechanics: a computational approach, with examples in Python and Mathematica” (CRC Press, Second Edition, 2024), and “Mathematical methods using Python (CRC Press, 2025). He has also co-authored four graduate level textbooks in the field of luminescence dosimetry.